[HTML][HTML] Recent developments on natural fiber concrete: A review of properties, sustainability, applications, barriers, and opportunities

L Chen, Z Chen, Z Xie, L Wei, J Hua, L Huang… - Developments in the …, 2023 - Elsevier
To reduce the carbon footprint of traditional concrete materials, natural fiber concrete is vital.
This study systematically analyzed 196 peer-reviewed papers using the literature review …

Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security

E Hashmi, MM Yamin, SY Yayilgan - AI and Ethics, 2024 - Springer
This survey paper explores the transformative role of Artificial Intelligence (AI) in information
security. Traditional methods, especially rule-based approaches, faced significant …

[HTML][HTML] Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete

M Khan, AU Khan, M Houda, C El Hachem… - Results in …, 2023 - Elsevier
The use of fly ash in cementitious composites has gained popularity. However, assessing
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …

[HTML][HTML] Predicting ultra-high-performance concrete compressive strength using gene expression programming method

H Alabduljabbar, M Khan, HH Awan, SM Eldin… - Case Studies in …, 2023 - Elsevier
There have been extensive experimental studies available on the composition and
characteristics of Ultra-High-Performance concrete (UHPC). However, the relation between …

Interpretable machine learning for predicting the strength of 3D printed fiber-reinforced concrete (3DP-FRC)

MN Uddin, J Ye, B Deng, L Li, K Yu - Journal of Building Engineering, 2023 - Elsevier
This study aims to provide an effective and accurate machine learning approach to predict
the compressive strength (CS) and flexural strength (FS) of 3D printed fiber reinforced …

[HTML][HTML] Forecasting the strength characteristics of concrete incorporating waste foundry sand using advance machine algorithms including deep learning

R Alyousef, M Khan, K Arif, M Fawad… - Case Studies in …, 2023 - Elsevier
The incorporation of waste foundry sand (WFS) into concrete has been recognized as a
sustainable approach to improve the strength properties of waste foundry sand concrete …

[HTML][HTML] Hybrid machine learning approach to prediction of the compressive and flexural strengths of UHPC and parametric analysis with shapley additive …

P Das, A Kashem - Case Studies in Construction Materials, 2024 - Elsevier
Ultra-high-performance concrete (UHPC) is a sustainable construction material; it can be
applied as a substitute for cement concrete. Artificial intelligence methods have been used …

[HTML][HTML] Compressive strength of concrete material using machine learning techniques

S Paudel, A Pudasaini, RK Shrestha… - Cleaner Engineering and …, 2023 - Elsevier
Significant efforts have been made to improve the strength of concrete by utilizing industrial
waste like Fly Ash as a partial replacement of cement in the concrete. However, predicting …

Comparison of gasoline and hydrogen pathways in order to reduce the environmental hazards of a solar-hydrogen refueling station: Evaluation based on life cycle …

SU Zhanguo, W Zhang, A Abdulwahab… - Process Safety and …, 2023 - Elsevier
Today, due to increasing concerns about the use of fossil fuels, renewables have been
introduced as a popular, efficient and green alternative. Since the transportation sector is …

Evaluating the strength and impact of raw ingredients of cement mortar incorporating waste glass powder using machine learning and SHapley additive ExPlanations …

HA Alkadhim, MN Amin, W Ahmad, K Khan, S Nazar… - Materials, 2022 - mdpi.com
This research employed machine learning (ML) and SHapley Additive ExPlanations (SHAP)
methods to assess the strength and impact of raw ingredients of cement mortar (CM) …